Chengguo Fan
IEEE Access · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Chengguo Fan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chengguo Fan's perspective
Ordered by how strongly the researchers Chengguo Fan trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- Visualizing and Understanding Convolutional Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- cuDNN: Efficient Primitives for Deep Learning
- Deep Learning
- Using Deep Learning for Image-Based Plant Disease Detection
- The Problem of Overfitting
- Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning (Computational Intelligence and Neuroscience)
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning. (Phytopathology)
- Identification of rice diseases using deep convolutional neural networks (Neurocomputing)
Their papers
- Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks (2018) — 514 citations